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Davide Cavagnino

Researcher at University of Turin

Publications -  61
Citations -  518

Davide Cavagnino is an academic researcher from University of Turin. The author has contributed to research in topics: Digital watermarking & Watermark. The author has an hindex of 12, co-authored 56 publications receiving 469 citations. Previous affiliations of Davide Cavagnino include Telecom Italia.

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PatentDOI

Secure Logging For Irrefutable Administration

TL;DR: In this article, a method for protecting sensitive data (D) in an entry of a log file for later audit, comprising: encrypting D in the log entry by using a random cryptographic key (A), for each auditor authorized to access the log entries, encrypting the random cryptographic keys (A) by using an auditor's personal cryptographic key(K), and encrypting a fake key (H(A) having the same properties as the random encryption key(A), by using the auditor's private key (K).
Proceedings ArticleDOI

Individual single source authentication on the MBONE

TL;DR: An efficient authentication protocol is presented and its implementation in an audio conferencing application is discussed, which addresses the challenges faced in broadcast and multicast communications.
Book ChapterDOI

Chained Stream Authentication

TL;DR: This work presents a protocol for the exchange of individually authenticated data streams among N parties that is fast, because it only requires the computation of hash functions - it does not need digital signatures, that are substantially less efficient.
Journal ArticleDOI

A Novel Block-based Watermarking Scheme Using the SVD Transform

TL;DR: A block-based watermarking scheme based on the Singular Value Decomposition (SVD) is proposed that is resistant against common signal processing operations and attacks, while it preserves the quality of the original image.
Journal ArticleDOI

A modular framework for color image watermarking

TL;DR: An algorithm for fragile watermarking of color, or multi-channel, images either in uncompressed format, in lossless compressed format, or in compressed format with locally compressed units (like JPEG).